论文标题
颗粒物暴露和肺癌：两项荟萃分析研究的综述
Particulate Matter Exposure and Lung Cancer: A Review of two Meta-Analysis Studies
论文作者
论文摘要
当前的调节范例是，随着时间的流逝，PM2.5会导致肺癌。该主张基于使用队列研究作为基础研究的队列研究和荟萃分析。有必要评估该因果要求的可靠性。我们的思想是检查有关多次测试和多个建模的基础研究，并更仔细地研究使用P值图的荟萃分析。对于我们研究了两次荟萃分析，在一些基本研究中观察到了一些极小的p值，我们认为这是由于偏见和小标准误差的组合。一项荟萃分析的p值图表明没有影响。对于其他荟萃分析，我们注意到p值图与两组分组的混合物一致。小p值可能是真实的，也可能是由于P黑客式，出版偏见，协变量问题等的某种组合。大型P值可能没有表明实际效果，或者由于低功率，缺少协变量等而导致的效果。我们得出结论，结果表明结果最佳。这些荟萃分析并未确定PM2.5是肺肿瘤的因果。
The current regulatory paradigm is that PM2.5, over time causes lung cancer. This claim is based on cohort studies and meta-analysis that use cohort studies as their base studies. There is a need to evaluate the reliability of this causal claim. Our idea is to examine the base studies with respect to multiple testing and multiple modeling and to look closer at the meta-analysis using p-value plots. For two meta-analysis we investigated, some extremely small p-values were observed in some of the base studies, which we think are due to a combination of bias and small standard errors. The p-value plot for one meta-analysis indicates no effect. For the other meta-analysis, we note the p-value plot is consistent with a two-component mixture. Small p-values might be real or due to some combination of p-hacking, publication bias, covariate problems, etc. The large p-values could indicate no real effect, or be wrong due to low power, missing covariates, etc. We conclude that the results are ambiguous at best. These meta-analyses do not establish that PM2.5 is causal of lung tumors.
